{"id":1818,"date":"2025-02-17T16:05:33","date_gmt":"2025-02-17T08:05:33","guid":{"rendered":"https:\/\/www.forillusion.com\/?p=1818"},"modified":"2025-02-17T16:05:34","modified_gmt":"2025-02-17T08:05:34","slug":"4-5-read-write","status":"publish","type":"post","link":"https:\/\/www.forillusion.com\/index.php\/4-5-read-write\/","title":{"rendered":"4.5 \u8bfb\u53d6\u548c\u5b58\u50a8"},"content":{"rendered":"\n<p><div class=\"has-toc have-toc\"><\/div><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u8bfb\u5199<code>Tensor<\/code><\/h2>\n\n\n\n<p>\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528<code>save<\/code>\u51fd\u6570\u548c<code>load<\/code>\u51fd\u6570\u5206\u522b\u5b58\u50a8\u548c\u8bfb\u53d6<code>Tensor<\/code>\u3002<code>save<\/code>\u4f7f\u7528Python\u7684pickle\u5b9e\u7528\u7a0b\u5e8f\u5c06\u5bf9\u8c61\u8fdb\u884c\u5e8f\u5217\u5316\uff0c\u7136\u540e\u5c06\u5e8f\u5217\u5316\u7684\u5bf9\u8c61\u4fdd\u5b58\u5230disk\uff0c\u4f7f\u7528<code>save<\/code>\u53ef\u4ee5\u4fdd\u5b58\u5404\u79cd\u5bf9\u8c61,\u5305\u62ec\u6a21\u578b\u3001\u5f20\u91cf\u548c\u5b57\u5178\u7b49\u3002\u800c<code>load<\/code>\u4f7f\u7528pickle unpickle\u5de5\u5177\u5c06pickle\u7684\u5bf9\u8c61\u6587\u4ef6\u53cd\u5e8f\u5217\u5316\u4e3a\u5185\u5b58\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u7684\u4f8b\u5b50\u521b\u5efa\u4e86<code>Tensor<\/code>\u53d8\u91cf<code>x<\/code>\uff0c\u5e76\u5c06\u5176\u5b58\u5728\u6587\u4ef6\u540d\u540c\u4e3a<code>x.pt<\/code>\u7684\u6587\u4ef6\u91cc\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch\nfrom torch import nn\n\nx = torch.ones(3)\ntorch.save(x, 'x.pt')<\/code><\/pre>\n\n\n\n<p>\u7136\u540e\u5c06\u6570\u636e\u4ece\u5b58\u50a8\u7684\u6587\u4ef6\u8bfb\u56de\u5185\u5b58\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>x2 = torch.load('x.pt')\nprint(x2)<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>tensor(&#91;1., 1., 1.])<\/code><\/pre>\n\n\n\n<p>\u8fd8\u53ef\u4ee5\u5b58\u50a8\u4e00\u4e2a<code>Tensor<\/code>\u5217\u8868\u5e76\u8bfb\u56de\u5185\u5b58\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>y = torch.zeros(4)\ntorch.save(&#91;x, y], 'xy.pt')\nxy_list = torch.load('xy.pt')\nprint(xy_list)<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&#91;tensor(&#91;1., 1., 1.]), tensor(&#91;0., 0., 0., 0.])]<\/code><\/pre>\n\n\n\n<p>\u5b58\u50a8\u5e76\u8bfb\u53d6\u4e00\u4e2a\u4ece\u5b57\u7b26\u4e32\u6620\u5c04\u5230<code>Tensor<\/code>\u7684\u5b57\u5178\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>torch.save({'x': x, 'y': y}, 'xy_dict.pt')\nxy = torch.load('xy_dict.pt')\nprint(xy)<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>{'x': tensor(&#91;1., 1., 1.]), 'y': tensor(&#91;0., 0., 0., 0.])}<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">\u8bfb\u5199\u6a21\u578b<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><code>state_dict<\/code><\/h3>\n\n\n\n<p>\u5728PyTorch\u4e2d\uff0c<code>Module<\/code>\u7684\u53ef\u5b66\u4e60\u53c2\u6570(\u5373\u6743\u91cd\u548c\u504f\u5dee)\uff0c\u6a21\u5757\u6a21\u578b\u5305\u542b\u5728\u53c2\u6570\u4e2d(\u901a\u8fc7<code>model.parameters()<\/code>\u8bbf\u95ee)\u3002<code>state_dict<\/code>\u662f\u4e00\u4e2a\u4ece\u53c2\u6570\u540d\u79f0\u9690\u5c04\u5230\u53c2\u6570<code>Tesnor<\/code>\u7684\u5b57\u5178\u5bf9\u8c61\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>class MLP(nn.Module):\n    def __init__(self):\n        super(MLP, self).__init__()\n        self.hidden = nn.Linear(3, 2)\n        self.act = nn.ReLU()\n        self.output = nn.Linear(2, 1)\n\n    def forward(self, x):\n        a = self.act(self.hidden(x))\n        return self.output(a)\n\nnet = MLP()\nnet.state_dict()<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>OrderedDict(&#91;('hidden.weight', tensor(&#91;&#91; 0.2448,  0.1856, -0.5678],\n                      &#91; 0.2030, -0.2073, -0.0104]])),\n             ('hidden.bias', tensor(&#91;-0.3117, -0.4232])),\n             ('output.weight', tensor(&#91;&#91;-0.4556,  0.4084]])),\n             ('output.bias', tensor(&#91;-0.3573]))])<\/code><\/pre>\n\n\n\n<p>\u6ce8\u610f\uff0c\u53ea\u6709\u5177\u6709\u53ef\u5b66\u4e60\u53c2\u6570\u7684\u5c42(\u5377\u79ef\u5c42\u3001\u7ebf\u6027\u5c42\u7b49)\u624d\u6709<code>state_dict<\/code>\u4e2d\u7684\u6761\u76ee\u3002\u4f18\u5316\u5668(<code>optim<\/code>)\u4e5f\u6709\u4e00\u4e2a<code>state_dict<\/code>\uff0c\u5176\u4e2d\u5305\u542b\u5173\u4e8e\u4f18\u5316\u5668\u72b6\u6001\u4ee5\u53ca\u6240\u4f7f\u7528\u7684\u8d85\u53c2\u6570\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>optimizer = torch.optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\noptimizer.state_dict()<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>{'param_groups': &#91;{'dampening': 0,\n   'lr': 0.001,\n   'momentum': 0.9,\n   'nesterov': False,\n   'params': &#91;4736167728, 4736166648, 4736167368, 4736165352],\n   'weight_decay': 0}],\n 'state': {}}<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u4fdd\u5b58\u548c\u52a0\u8f7d\u6a21\u578b<\/h3>\n\n\n\n<p>PyTorch\u4e2d\u4fdd\u5b58\u548c\u52a0\u8f7d\u8bad\u7ec3\u6a21\u578b\u6709\u4e24\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4ec5\u4fdd\u5b58\u548c\u52a0\u8f7d\u6a21\u578b\u53c2\u6570(<code>state_dict<\/code>)\uff1b<\/li>\n\n\n\n<li>\u4fdd\u5b58\u548c\u52a0\u8f7d\u6574\u4e2a\u6a21\u578b\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u65e0\u8bba\u662f\u4fdd\u5b58\u6574\u4e2a\u6a21\u578b\u8fd8\u662f\u53ea\u4fdd\u5b58\u6a21\u578b\u53c2\u6570\uff0c\u5728\u52a0\u8f7d\u6a21\u578b\u65f6\u90fd\u9700\u8981\u5728\u4ee3\u7801\u4e2d\u5b9a\u4e49\u51fa\u6a21\u578b\u7684\u7ed3\u6784\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1. \u4fdd\u5b58\u548c\u52a0\u8f7d<code>state_dict<\/code>(\u63a8\u8350\u65b9\u5f0f)<\/h4>\n\n\n\n<p>\u4fdd\u5b58\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>torch.save(model.state_dict(), PATH) # \u63a8\u8350\u7684\u6587\u4ef6\u540e\u7f00\u540d\u662fpt\u6216pth<\/code><\/pre>\n\n\n\n<p>\u52a0\u8f7d\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model = TheModelClass(*args, **kwargs)\nmodel.load_state_dict(torch.load(PATH))<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">2. \u4fdd\u5b58\u548c\u52a0\u8f7d\u6574\u4e2a\u6a21\u578b<\/h4>\n\n\n\n<p>\u4fdd\u5b58\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>torch.save(model, PATH)<\/code><\/pre>\n\n\n\n<p>\u52a0\u8f7d\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model = torch.load(PATH)<\/code><\/pre>\n\n\n\n<p>\u6ce8\u610f\uff0c\u6a21\u578b\u7c7b\u5fc5\u987b\u4e00\u81f4 \u3002\u4fdd\u5b58\u6574\u4e2a\u6a21\u578b\u65f6\uff0c\u6a21\u578b\u7c7b\u7684\u5b9a\u4e49\u4f1a\u88ab\u5e8f\u5217\u5316\u3002\u56e0\u6b64\uff0c\u5728\u52a0\u8f7d\u6a21\u578b\u65f6\uff0c\u6a21\u578b\u7c7b\u7684\u5b9a\u4e49\u5fc5\u987b\u4e0e\u4fdd\u5b58\u65f6\u5b8c\u5168\u4e00\u81f4\u3002\u5982\u679c\u6a21\u578b\u7c7b\u7684\u5b9a\u4e49\u53d1\u751f\u4e86\u53d8\u5316\uff08\u4f8b\u5982\u4fee\u6539\u4e86\u6a21\u578b\u7684\u7ed3\u6784\u6216\u65b9\u6cd5\u6216\u6a21\u578b\u7c7b\u7684\u540d\u79f0\uff09\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u52a0\u8f7d\u5931\u8d25\u6216\u884c\u4e3a\u5f02\u5e38\u3002\u4fdd\u5b58\u6574\u4e2a\u6a21\u578b\u65f6\uff0c\u6a21\u578b\u7684\u7ed3\u6784\u3001\u53c2\u6570\u3001\u4f18\u5316\u5668\u72b6\u6001\u7b49\u90fd\u4f1a\u88ab\u4fdd\u5b58\u4e0b\u6765\uff0c\u9002\u5408\u9700\u8981\u5b8c\u6574\u6062\u590d\u8bad\u7ec3\u573a\u666f\u7684\u60c5\u51b5\u3002\u4f46\u662f\u7075\u6d3b\u6027\u8f83\u4f4e \uff0c\u7531\u4e8e\u4fdd\u5b58\u7684\u662f\u6574\u4e2a\u6a21\u578b\u5bf9\u8c61\uff0c\u56e0\u6b64\u5728\u52a0\u8f7d\u65f6\u8981\u6c42\u6a21\u578b\u7c7b\u7684\u5b9a\u4e49\u5fc5\u987b\u4e0e\u4fdd\u5b58\u65f6\u4e00\u81f4\u3002\u5982\u679c\u6a21\u578b\u7c7b\u7684\u5b9a\u4e49\u53d1\u751f\u53d8\u5316\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u52a0\u8f7d\u5931\u8d25\u3002<\/p>\n\n\n\n<p>\u91c7\u7528\u65b9\u6cd5\u4e00\u6765\u5b9e\u9a8c\u4e00\u4e0b:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>X = torch.randn(2, 3)\nY = net(X)\n\nPATH = \".\/net.pt\"\ntorch.save(net.state_dict(), PATH)\n\nnet2 = MLP()\nnet2.load_state_dict(torch.load(PATH))\nY2 = net2(X)\nY2 == Y<\/code><\/pre>\n\n\n\n<p>\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>tensor(&#91;&#91;1],\n        &#91;1]], dtype=torch.uint8)<\/code><\/pre>\n\n\n\n<p>\u56e0\u4e3a\u8fd9<code>net<\/code>\u548c<code>net2<\/code>\u90fd\u6709\u540c\u6837\u7684\u6a21\u578b\u53c2\u6570\uff0c\u90a3\u4e48\u5bf9\u540c\u4e00\u4e2a\u8f93\u5165<code>X<\/code>\u7684\u8ba1\u7b97\u7ed3\u679c\u5c06\u4f1a\u662f\u4e00\u6837\u7684\u3002\u4e0a\u9762\u7684\u8f93\u51fa\u4e5f\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u70b9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bfb\u5199Tensor \u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528save\u51fd\u6570\u548cload\u51fd\u6570\u5206\u522b\u5b58\u50a8\u548c\u8bfb\u53d6Tensor\u3002save\u4f7f\u7528Python\u7684pickle\u5b9e\u7528\u7a0b\u5e8f &#8230;<\/p>","protected":false},"author":1,"featured_media":1819,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46,3],"tags":[45,44,12,22],"class_list":["post-1818","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-46","category-3","tag-45","tag-44","tag-12","tag-22"],"_links":{"self":[{"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/posts\/1818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/comments?post=1818"}],"version-history":[{"count":1,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/posts\/1818\/revisions"}],"predecessor-version":[{"id":1820,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/posts\/1818\/revisions\/1820"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/media\/1819"}],"wp:attachment":[{"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/media?parent=1818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/categories?post=1818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.forillusion.com\/index.php\/wp-json\/wp\/v2\/tags?post=1818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}